1.1 Import using RStudio

1.2 Import Excel File

1.3 Import SPSS File

1.4 Export to SPSS, while keeping labels

R’da factor olan label verdiğiniz değişkenleri SPSS ya da diğer istatistik programlarına aktardığınızda bu tanımlamaları korumak işimize yarar. Bunun için foreign paketi ile bir txt dosyası ve bir sps dosyası oluşturuyoruz. SPSS’te sps dosyasını açıp kodu çalıştırarak tekrar atanan değerler geri yükleniyor.

library(foreign)
write.foreign(mydata, "mydata.txt", "mydata.sps",   package = "SPSS")

1.5 Prepare Data for Analysis

library(foreign) # foreign paketi yükleniyor

mydata <- read.spss("mydata.sav", use.value.labels = TRUE, to.data.frame = TRUE)

VariableLabels <- as.data.frame(attr(mydata, "variable.labels"))

VariableLabels$original <- rownames(VariableLabels)

VariableLabels$label[VariableLabels$label ==""] <- NA 
VariableLabels$colname <- VariableLabels$original
VariableLabels$colname[!is.na(VariableLabels$label)] <- as.vector(VariableLabels$label[!is.na(VariableLabels$label)])

names(mydata) <- VariableLabels$colname

2.0.0.1 veriye ID ekleme

df <- tibble::rowid_to_column(df, "subject")

4.1 tangram

7.1 API connection

http://rtweet.info/ https://apps.twitter.com/

# install.packages("rtweet")
library(rtweet)

# web browser method: create token and save it as an environment variable
create_token(
    app = "",
     consumer_key = "",
     consumer_secret = "")


# ## authenticate via access token
# token <- create_token(
#   app = "",
#   consumer_key = "",
#   acess_token = "",
#   access_secret = "")

# 
# 
# ## create token and save it as an environment variable
# twitter_token <- create_token(
#   app = appname,
#   consumer_key = key,
#   consumer_secret = secret,
#   access_token = access_token,
#   access_secret = access_secret
# )
# 
# 
# ## check to see if the token is loaded
# identical(twitter_token, get_token())

7.2 Search Tweets

## search for 18000 tweets using the hashtag
rt <- search_tweets(
    "#GIpath", n = 18000, include_rts = FALSE
)

Searching for tweets...
This may take a few seconds...
Finished collecting tweets!

## preview tweets data
head(rt)

dplyr::glimpse(rt)

Observations: 41
Variables: 88
$ user_id                 <chr> "3064578977", "1352658890", "761217567562276864", "2822835892", "2822835892", "958262423986823173", "958...
$ status_id               <chr> "1009578340381003777", "1009577589613064192", "1009574286523359232", "1009537860175912960", "10061851222...
$ created_at              <dttm> 2018-06-20 23:26:48, 2018-06-20 23:23:49, 2018-06-20 23:10:41, 2018-06-20 20:45:56, 2018-06-11 14:43:21...
$ screen_name             <chr> "JenFindeisHosey", "mjcascio", "DraEosina", "CArnold_GI", "CArnold_GI", "Ho_Khanh_MD", "Ho_Khanh_MD", "H...
$ text                    <chr> "Colon polyp - should be easy enough. #theremustbesomethinginthewater @GIPathologyURMC #GIpath #patholog...
$ source                  <chr> "Twitter Web Client", "Twitter for iPhone", "Twitter for Android", "Twitter Web Client", "Twitter Web Cl...
$ display_text_width      <dbl> 104, 204, 91, 121, 287, 209, 155, 134, 83, 55, 29, 229, 229, 111, 165, 180, 157, 286, 267, 65, 114, 111,...
$ reply_to_status_id      <chr> NA, "1009574286523359232", NA, NA, "1005463779667316736", NA, NA, NA, NA, NA, NA, "1006812260289957889",...
$ reply_to_user_id        <chr> NA, "761217567562276864", NA, NA, "2822835892", NA, NA, NA, NA, NA, NA, "958262423986823173", NA, NA, NA...
$ reply_to_screen_name    <chr> NA, "DraEosina", NA, NA, "CArnold_GI", NA, NA, NA, NA, NA, NA, "Ho_Khanh_MD", NA, NA, NA, NA, NA, NA, NA...
$ is_quote                <lgl> FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, FA...
$ is_retweet              <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,...
$ favorite_count          <int> 4, 2, 0, 4, 23, 6, 21, 6, 9, 10, 0, 6, 23, 36, 91, 5, 6, 38, 37, 0, 20, 6, 39, 42, 36, 23, 7, 19, 50, 3,...
$ retweet_count           <int> 0, 0, 0, 2, 10, 2, 8, 1, 2, 1, 0, 1, 16, 17, 44, 4, 3, 19, 14, 0, 11, 2, 19, 25, 22, 22, 3, 17, 35, 0, 0...
$ hashtags                <list> [<"theremustbesomethinginthewater", "GIpath", "pathology">, <"hemepath", "gipath">, <"GIPath", "Patholo...
$ symbols                 <list> [NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...
$ urls_url                <list> [NA, NA, "twitter.com/vaultmd/status…", NA, NA, NA, NA, "twitter.com/MatthewMuscara…", NA, NA, "twitter...
$ urls_t.co               <list> [NA, NA, "https://t.co/Kk0eh0SptF", NA, NA, NA, NA, "https://t.co/1v3ds83bNH", NA, NA, "https://t.co/fh...
$ urls_expanded_url       <list> [NA, NA, "https://twitter.com/vaultmd/status/1007788181788319749", NA, NA, NA, NA, "https://twitter.com...
$ media_url               <list> ["http://pbs.twimg.com/media/DgK9BEtW0AAaVGy.jpg", NA, NA, "http://pbs.twimg.com/media/DgKYd-iU8AAj2I4....
$ media_t.co              <list> ["https://t.co/1TFmrBatl2", NA, NA, "https://t.co/rWmCnf3vBc", "https://t.co/nkRkiSH8bn", "https://t.co...
$ media_expanded_url      <list> ["https://twitter.com/JenFindeisHosey/status/1009578340381003777/photo/1", NA, NA, "https://twitter.com...
$ media_type              <list> ["photo", NA, NA, "photo", "photo", "photo", "photo", NA, "photo", "photo", NA, NA, "photo", "photo", "...
$ ext_media_url           <list> [<"http://pbs.twimg.com/media/DgK9BEtW0AAaVGy.jpg", "http://pbs.twimg.com/media/DgK9DEDWkAEQFXa.jpg", "...
$ ext_media_t.co          <list> [<"https://t.co/1TFmrBatl2", "https://t.co/1TFmrBatl2", "https://t.co/1TFmrBatl2", "https://t.co/1TFmrB...
$ ext_media_expanded_url  <list> [<"https://twitter.com/JenFindeisHosey/status/1009578340381003777/photo/1", "https://twitter.com/JenFin...
$ ext_media_type          <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ mentions_user_id        <list> ["3041039242", <"761217567562276864", "407274325">, NA, "633268570", NA, NA, NA, NA, NA, NA, NA, NA, NA...
$ mentions_screen_name    <list> ["GIPathologyURMC", <"DraEosina", "vaultmd">, NA, "SarahHatchMD19", NA, NA, NA, NA, NA, NA, NA, NA, NA,...
$ lang                    <chr> "en", "en", "en", "en", "en", "en", "en", "en", "en", "en", "en", "en", "en", "en", "en", "en", "en", "e...
$ quoted_status_id        <chr> NA, NA, "1007788181788319749", NA, NA, NA, NA, "1009220202247217152", NA, NA, "1006277693900550145", NA,...
$ quoted_text             <chr> NA, NA, "#pathology #Gastrointestinal Plea for help - where in the USA does anyone test Helicobacter for...
$ quoted_created_at       <dttm> NA, NA, 2018-06-16 00:53:20, NA, NA, NA, NA, 2018-06-19 23:43:41, NA, NA, 2018-06-11 20:51:12, NA, NA, ...
$ quoted_source           <chr> NA, NA, "Twitter Web Client", NA, NA, NA, NA, "Twitter Web Client", NA, NA, "Twitter Web Client", NA, NA...
$ quoted_favorite_count   <int> NA, NA, 2, NA, NA, NA, NA, 29, NA, NA, 10, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 7...
$ quoted_retweet_count    <int> NA, NA, 0, NA, NA, NA, NA, 12, NA, NA, 7, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 41...
$ quoted_user_id          <chr> NA, NA, "407274325", NA, NA, NA, NA, "315554586", NA, NA, "973271251392266240", NA, NA, NA, NA, NA, NA, ...
$ quoted_screen_name      <chr> NA, NA, "vaultmd", NA, NA, NA, NA, "MatthewMuscara", NA, NA, "Annpathol", NA, NA, NA, NA, NA, NA, NA, NA...
$ quoted_name             <chr> NA, NA, "Wilson SooHoo", NA, NA, NA, NA, "Matthew Muscara", NA, NA, "Annales de Pathologie", NA, NA, NA,...
$ quoted_followers_count  <int> NA, NA, 85, NA, NA, NA, NA, 40, NA, NA, 208, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,...
$ quoted_friends_count    <int> NA, NA, 200, NA, NA, NA, NA, 53, NA, NA, 215, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...
$ quoted_statuses_count   <int> NA, NA, 141, NA, NA, NA, NA, 16, NA, NA, 60, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,...
$ quoted_location         <chr> NA, NA, "Greater Sacramento Area", NA, NA, NA, NA, "Seattle, WA", NA, NA, "France", NA, NA, NA, NA, NA, ...
$ quoted_description      <chr> NA, NA, "A random dude who supports the pole vault community in a myriad of behind-the-scenes roles. Oh ...
$ quoted_verified         <lgl> NA, NA, FALSE, NA, NA, NA, NA, FALSE, NA, NA, FALSE, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,...
$ retweet_status_id       <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_text            <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_created_at      <dttm> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,...
$ retweet_source          <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_favorite_count  <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_retweet_count   <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_user_id         <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_screen_name     <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_name            <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_followers_count <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_friends_count   <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_statuses_count  <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_location        <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_description     <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ retweet_verified        <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ place_url               <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ place_name              <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ place_full_name         <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ place_type              <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ country                 <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ country_code            <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
$ geo_coords              <list> [<NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <N...
$ coords_coords           <list> [<NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <NA, NA>, <N...
$ bbox_coords             <list> [<NA, NA, NA, NA, NA, NA, NA, NA>, <NA, NA, NA, NA, NA, NA, NA, NA>, <NA, NA, NA, NA, NA, NA, NA, NA>, ...
$ status_url              <chr> "https://twitter.com/JenFindeisHosey/status/1009578340381003777", "https://twitter.com/mjcascio/status/1...
$ name                    <chr> "Jen Findeis-Hosey", "Michael Cascio, M.D.", "Laura G. Pastrián MD", "Christina Arnold, MD", "Christina ...
$ location                <chr> "Rochester, NY", "Portland, OR", "España", "Columbus, OH", "Columbus, OH", "Belgique", "Belgique", "Belg...
$ description             <chr> "Univ. of Rochester Med Center GI/Liver pathologist & medical educator", "Hematopathologist // Assistant...
$ url                     <chr> NA, "https://t.co/LYpyfEZ0ty", NA, "https://t.co/Ro7gSsGTvZ", "https://t.co/Ro7gSsGTvZ", NA, NA, NA, NA,...
$ protected               <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,...
$ followers_count         <int> 91, 2295, 3751, 6306, 6306, 431, 431, 431, 431, 431, 431, 431, 437, 2360, 2360, 255, 104, 1368, 338, 85,...
$ friends_count           <int> 25, 889, 3376, 3446, 3446, 704, 704, 704, 704, 704, 704, 704, 195, 1639, 1639, 1274, 76, 897, 76, 200, 2...
$ listed_count            <int> 6, 39, 57, 109, 109, 4, 4, 4, 4, 4, 4, 4, 6, 22, 22, 6, 6, 16, 3, 3, 4, 4, 4, 2, 2, 4, 7, 5, 63, 37, 0, ...
$ statuses_count          <int> 26, 3780, 15238, 14741, 14741, 312, 312, 312, 312, 312, 312, 312, 417, 3219, 3219, 343, 89, 4275, 44, 14...
$ favourites_count        <int> 10, 2791, 25137, 26256, 26256, 2538, 2538, 2538, 2538, 2538, 2538, 2538, 305, 4193, 4193, 363, 74, 5388,...
$ account_created_at      <dttm> 2015-02-27 21:13:58, 2013-04-14 19:45:13, 2016-08-04 15:09:45, 2014-10-11 13:50:54, 2014-10-11 13:50:54...
$ verified                <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,...
$ profile_url             <chr> NA, "https://t.co/LYpyfEZ0ty", NA, "https://t.co/Ro7gSsGTvZ", "https://t.co/Ro7gSsGTvZ", NA, NA, NA, NA,...
$ profile_expanded_url    <chr> NA, "http://bit.ly/2f1Xf01", NA, "http://www.pathology.med.ohio-state.edu/ext/Faculty_page.aspx?ID=Arnol...
$ account_lang            <chr> "en", "en", "es", "en", "en", "fr", "fr", "fr", "fr", "fr", "fr", "fr", "ca", "es", "es", "en", "en", "e...
$ profile_banner_url      <chr> "https://pbs.twimg.com/profile_banners/3064578977/1466562530", "https://pbs.twimg.com/profile_banners/13...
$ profile_background_url  <chr> "http://abs.twimg.com/images/themes/theme1/bg.png", "http://abs.twimg.com/images/themes/theme1/bg.png", ...
$ profile_image_url       <chr> "http://pbs.twimg.com/profile_images/745442702951587840/39wg9Ghe_normal.jpg", "http://pbs.twimg.com/prof...

## preview users data
users_data(rt)

## plot time series (if ggplot2 is installed)
ts_plot(rt)

## plot time series of tweets
ts_plot(rt, "3 hours") +
    ggplot2::theme_minimal() +
    ggplot2::theme(plot.title = ggplot2::element_text(face = "bold")) +
    ggplot2::labs(
        x = NULL, y = NULL,
        title = "Frequency of #pathologists Twitter statuses from past 9 days",
        subtitle = "Twitter status (tweet) counts aggregated using three-hour intervals",
        caption = "\nSource: Data collected from Twitter's REST API via rtweet"
    )

## search for 250,000 tweets containing the word data
rt1 <- search_tweets(
    "USCAP", n = 250000, retryonratelimit = TRUE
)

Searching for tweets...
This may take a few seconds...
Finished collecting tweets!
Searching for tweets...
This may take a few seconds...
Finished collecting tweets!

## search for 10,000 tweets sent from the US
rt1 <- search_tweets(
    "lang:en", geocode = lookup_coords("usa"), n = 10000
)

Searching for tweets...

## create lat/lng variables using all available tweet and profile geo-location data
rt1 <- lat_lng(rt1)
## plot state boundaries
par(mar = c(0, 0, 0, 0))
maps::map("state", lwd = .25)
## plot lat and lng points onto state map
with(rt1, points(lng, lat, pch = 20, cex = .75, col = rgb(0, .3, .7, .75)))

7.3 Stream Tweets

## random sample for 30 seconds (default)
rt3 <- stream_tweets("")

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Finished streaming tweets!
opening file input connection.

 Found 500 records...
 Found 905 records...
 Imported 905 records. Simplifying...

closing file input connection.

rt3

## stream tweets from london for 60 seconds
rt <- stream_tweets(lookup_coords("london, uk"), timeout = 60)

Error in if (interactive) { : 
  argüman mantıksal olarak yorumlanabilir değil

## stream london tweets for a week (60 secs x 60 mins * 24 hours *  7 days)
# stream_tweets(
#     "realdonaldtrump,trump",
#     timeout = 60 * 60 * 24 * 7,
#     file_name = "tweetsabouttrump.json",
#     parse = FALSE
# )
stream_tweets(
    "realdonaldtrump,trump",
    timeout = 60 * 60 * 1 * 1,
    file_name = "tweetsabouttrump.json",
    parse = FALSE
)

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Finished streaming tweets!
streaming data saved as tweetsabouttrump.json

## read in the data as a tidy tbl data frame
djt <- parse_stream("tweetsabouttrump.json")

opening file input connection.

 Found 500 records...
 Found 1000 records...
 Found 1500 records...
 Found 2000 records...
 Found 2085 records...
 Imported 2085 records. Simplifying...

closing file input connection.

djt

7.4 Twitter connections and user information

## lookup data on those accounts
# cnn_fds_data <- lookup_users(cnn_fds$user_id)
sb_fds_data <- lookup_users(sb_fds$user_id)
sb_fds_data

sb_follows[1:50]

 [1] "Kashifhazim"     "wahalulu"        "R4DScommunity"   "canitti"         "WOMChess"        "chessdom"        "EdwardTufte"    
 [8] "R_Graph_Gallery" "Jane1004Liang"   "ForestHulsMD"    "ElifVeyses"      "chrissilveira77" "MPathyart"       "RaulSGonzalezMD"
[15] "paige_ai"        "DerenGelincik"   "PrashantBavi"    "ELS_Recruitment" "JudDomi"         "PathTweetAward"  "Prof_DavidBader"
[22] "BrainIsThePath"  "BBMRIERIC"       "manuel_lg"       "Pathodaily"      "BioHub"          "chtn_network"    "mariferguillen3"
[29] "ksreddymd"       "MD_GIPath"       "datascifellows"  "DataKind"        "chinna7111"      "TheLymphomaniac" "RabiaDemirta13" 
[36] "zmaleki10gmail1" "bellvitgepath"   "geol_under"      "fopuyan"         "nev_eser"        "AnalyticsVidhya" "emilalbert1"    
[43] "anita_crescenzi" "ohoeber"         "pathoutprogram"  "mcamarajurado"   "editor_microsco" "KayKoMD"         "Ho_Khanh_MD"    
[50] "LiverPath_HPHS" 

# ## how many total follows does cnn have?
# cnn <- lookup_users("cnn")
# 
# ## get them all (this would take a little over 5 days)
# cnn_flw <- get_followers(
#     "cnn", n = cnn$followers_count, retryonratelimit = TRUE
# )

## get user IDs of accounts followed by CNN
tmls <- get_timelines(c("cnn", "BBCWorld", "foxnews"), n = 3200)

## plot the frequency of tweets for each user over time
tmls %>%
    dplyr::filter(created_at > "2017-10-29") %>%
    dplyr::group_by(screen_name) %>%
    ts_plot("days", trim = 1L) +
    ggplot2::geom_point() +
    ggplot2::theme_minimal() +
    ggplot2::theme(
        legend.title = ggplot2::element_blank(),
        legend.position = "bottom",
        plot.title = ggplot2::element_text(face = "bold")) +
    ggplot2::labs(
        x = NULL, y = NULL,
        title = "Frequency of Twitter statuses posted by news organization",
        subtitle = "Twitter status (tweet) counts aggregated by day from October/November 2017",
        caption = "\nSource: Data collected from Twitter's REST API via rtweet"
    )

# jkr <- get_favorites("jk_rowling", n = 3000)
sbf <- get_favorites("serdarbalci", n = 3000)
sbf

## search for users with #rstats in their profiles
# usrs <- search_users("#rstats", n = 1000)
path_usrs <- search_users("pathology", n = 1000)

Searching for users...

head(path_usrs)

head(path_usrs)

7.5 Twitter Trends

sf <- get_trends("san francisco")

sf

## lookup users by screen_name or user_id
users <- c("KimKardashian", "justinbieber", "taylorswift13",
           "espn", "JoelEmbiid", "cstonehoops", "KUHoops",
           "upshotnyt", "fivethirtyeight", "hadleywickham",
           "cnn", "foxnews", "msnbc", "maddow", "seanhannity",
           "potus", "epa", "hillaryclinton", "realdonaldtrump",
           "natesilver538", "ezraklein", "annecoulter")
famous_tweeters <- lookup_users(users)

## preview users data
famous_tweeters

# extract most recent tweets data from the famous tweeters
tweets_data(famous_tweeters)

7.6 Post tweet via R

post_tweet("my first rtweet #rstats, let us see if it works :) http://rtweet.info/")

your tweet has been posted!

7.7 Follow via R

## ty for the follow ;)
post_follow("kearneymw")

$errors
$errors[[1]]
$errors[[1]]$code
[1] 161

$errors[[1]]$message
[1] "You are unable to follow more people at this time. Learn more <a href='http://support.twitter.com/articles/66885-i-can-t-follow-people-follow-limits'>here</a>."

## quick overview of rtweet functions
vignette("auth", package = "rtweet")

7.8 Election Analysis on Twitter

## Stream keywords used to filter tweets
q <- "hillaryclinton,imwithher,realdonaldtrump,maga,electionday"

## Stream election tweets
rt_election <- stream_tweets(q = q, timeout = streamtime, file_name = filename)

Streaming tweets for 180 seconds...

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## No upfront-parse save as json file instead method
stream_tweets(
  q = q,
  parse = FALSE,
  timeout = streamtime,
  file_name = filename
)

## Parse from json file
rt_election <- parse_stream(filename)

## stream_tweets2 method
twoweeks <- 60L * 60L * 24L * 7L * 2L
congress <- "congress,senate,house of representatives,representatives,senators,legislative"
stream_tweets2(
  q = congress,
  parse = FALSE,
  timeout = twoweeks,
  dir = "congress-stream"
)

## Parse from json file
rt <- parse_stream("congress-stream.json")

## Preview tweets data
rt

## Preview users data
users_data(rt)

## Plot time series of all tweets aggregated by second
ts_plot(rt, by = "secs")

## plot multiple time series by first grouping the data by screen name
rt %>%
  dplyr::group_by(screen_name) %>%
  ts_plot() +
  ggplot2::labs(
    title = "Tweets during election day for the 2016 U.S. election",
    subtitle = "Tweets collected, parsed, and plotted using `rtweet`"
  )

7.9 Graphing Tweets

install.packages("graphTweets") # CRAN release v0.4
library(graphTweets)
library(igraph) # for plot

tweets <- rtweet::search_tweets(“rstats”)

tweets %>% gt_edges(text, screen_name, status_id) %>% gt_graph() %>% plot()